Blog
Engineering notes from the team
Practical notes on AI integration, MCP, cloud and enterprise software, from the engineers who build and run these systems.
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Benefits of AI Integration for Business Operations
The practical benefits of AI integration: faster service, less manual work, better decisions from data and earlier warnings, and where to start.
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AI Revolutionizing Healthcare
From diagnostics and drug discovery to hospital operations: what AI already does in healthcare, and the ethical questions it still raises.
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How AI Enhances Custom Software Applications
How integrating AI enhances custom software: plain-language search, document understanding, recommendations and predictions, and faster delivery.
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The Importance of Agile Methodologies in Software Development
Agile in practice: its core principles, the main frameworks, what it gains over waterfall, and the problems teams run into.
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Unlocking Event-Driven Architecture with Kafka Streams
Event-driven architecture with Kafka Streams: building real-time pipelines, worked examples, and connecting it to the systems you already run.
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AI in Software Development
AI now writes code, generates tests and helps plan sprints. What that changes for development teams, and for custom software in particular.
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Enhancing Cloud Security with AI
AI in cloud security: spotting threats earlier, automating incident response, and keeping on top of compliance and data privacy.
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AI and Cloud Computing Transformation
AI-powered cloud services in practice, the difficulties of running AI in the cloud, and real-world examples of the two combined.
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Best Practices for Cloud Migration
A cloud migration checklist: choosing a strategy, planning, security and compliance, cost control, and monitoring once you have moved.
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Benefits of Cloud Migration for Businesses
Moving to the cloud: what it does for security, collaboration and cost, and the trade-offs worth weighing before you start.
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Unlocking Real-Time Analytics with Apache Pinot
Apache Pinot answers queries over large data sets in milliseconds. Its architecture, real-time use cases, integration and performance tuning.
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Optimizing Cloud Costs with FinOps
FinOps for software companies: putting financial discipline around cloud spend, the tactics that cut costs, and how to measure the return.
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The Role of AI in Enhancing Customer Experience
Personalisation, chatbots, predictive analytics and feedback analysis: the places AI changes customer experience, channel by channel.
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AI and Cloud Computing Synergy
Why AI and cloud computing work better together, what makes combining them difficult, and where the pairing is heading.
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The Future of AI in Software Development
Automation, personalisation and quality checks: what AI already takes on in custom software, and the parts that still need an engineer.
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Building Scalable GraphQL APIs
Splitting one GraphQL server into federated services with Apollo Federation: a worked example, the benefits, and the problems to plan for.
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The Role of AI in Enhancing Business Operations
Decisions, customer service, efficiency and product development: where businesses are putting AI to work, and the ethical limits to respect.
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Impact of Cloud Migration on Business Agility
Cloud migration and business agility: faster change, leaner costs and better security, plus the obstacles to expect along the way.
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Streamlining CI/CD with GitOps
GitOps makes Git the single source of truth for deployments. What it adds to CI/CD, how to introduce it, and the obstacles teams face.
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Harnessing the Power of AI for Business
AI as a business transformation tool: customer experience, operations and decision-making, and the challenges that slow adoption down.
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Unlocking Edge AI with TinyML
TinyML runs machine-learning models on small, low-power devices. What that makes possible at the edge, and the constraints of working that way.
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AI Revenue Cycle Automation
Billing, claims and prior authorisation still run on manual work at many providers. Where AI automation helps, and how to roll it out.
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Agentic AI in Clinical Workflows: Revolution
47% of healthcare organisations already use or assess AI agents in clinical workflows. What agentic AI is, what it offers, and its limits.
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Consumer Health AI Insights
OpenAI and Anthropic are moving into personal health insights from synced data. What each is doing, and what it means for software firms.
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Serverless Architecture Trends
Five serverless trends to watch: cloud-native platforms, security and compliance, real-time data, serverless-first design and Kubernetes.
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AI in Hiring: Mitigating Bias
AI can shortlist candidates faster, and it can also discriminate. Where bias creeps into AI recruitment and how hiring teams can check for it.
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Low-Code Development Trends & Insights
Low-code platforms speed up prototyping and let business users build tools. The trends, the gains for IT teams, and the limits to plan around.
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Serverless Architecture: Future of Cloud
Serverless computing in plain terms: what it is, why it cuts costs and scales on its own, and the trade-offs that come with it.
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Enterprise MCP: Security, Automation and Development
MCP for the enterprise: how it works, the security controls it needs, what to automate first, and how to build MCP servers for your own systems.
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The Rise of AI Agents: Building the Intellig
AI agents can plan and act, not just answer. What they are, what they offer a business, how to introduce them, and where they fall short.
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